analysis of interference factors of air turbine cascades
TRANSCRIPT
Engineering Applications of Computational Fluid Mechanics Vol. 7, No. 4, pp. 496–506 (2013)
Received: 23 Nov. 2012; Revised: 12 Jul. 2013; Accepted: 5 Aug. 2013
496
ANALYSIS OF INTERFERENCE FACTORS OF AIR TURBINE
CASCADES
Andrei Gareev, Buyung Kosasih * and Paul Cooper
School of Mechanical, Materials and Mechatronics Engineering, University of Wollongong,
Northfields Avenue, NSW 2522 Australia
* E-Mail: [email protected] (Corresponding Author)
ABSTRACT: This paper reports viscous compressible aerodynamics analysis of two-dimensional cascades (arrays
of aerofoils). The study elucidates the effect of cascade parameters such as solidity, and angle of attack, on the
interference between blades. Understanding the interference behaviour is important in the performance analysis of
air turbines such as Wells turbine commonly used in oscillating water column (OWC) - wave energy converter
(WEC) system. The present analysis shows that isolated two-dimensional lift coefficient modified by interference
factors, ko, based on inviscid flow theory is acceptable for low solidity cascades, i.e. 0.5, and that stall occurs at
lower angle of attack in cascade compared to isolated aerofoil. When > 0.5, ko is shown to depend on both and
especially in the post-stall flow. The result suggests that interference factors that is applicable for wide range of flow
conditions as in Wells turbines should also include the effect in the modifier.
Keywords: aerofoils, cascade, computational fluid dynamics, interference factor, solidity, Wells turbine
1. INTRODUCTION
Wide variety of technologies have been proposed
to extract energy from ocean waves ranging from
floating structures that flex and recover energy
through hydraulic systems such as the Pelamis
wave farm located off the coast of Portugal
(Pelamis, 2012) through to various types of buoy
tethered to ocean floor such as the OPT's
PowerBuoy (Ocean Power Technologies, 2012).
Oscillating Water Column (OWC) system shown
in Fig. 1a is one of the most promising wave
energy technologies. Full scale examples of such
devices are the Limpet on the Isle of Islay in the
UK (Whittaker et al., 2003), and the Pico plant in
the Azores (Brito-Melo et al., 2008).
Most oscillating water column wave energy
converters (OWC-WECs) use axial flow turbines
(Fig. 1b) to harness the energy of the oscillating
variable velocity air as the free-surface of the
water rises and falls inside the OWC chamber.
Because of these conditions, the turbines must be
capable of effectively harnessing the pneumatic
energy generated over a wide range of angles of
attack. In the first-level design analysis of OWC-
WEC turbines, such as Wells turbine (Figs. 1b
and c), the work done by the fluid on the blades is
calculated (Gato and Falcao, 1984) in a way
similar to BEM approach. Despite of the relative
simplicity of the approach, it relies on accurate
lift and drag data. Because the flow between
adjacent blades in cylindrical or linear series of
blades (cascade) can be quite different to that over
isolated aerofoils, the cascade lift and drag are
different to those of isolated aerofoil due to the
“interference” that each blade has on the flow
field around its neighbours. For OWC-WEC
Wells turbines, which often have high solidity
rotors, the interference effect between the blades
in circular cascade can be even more significant.
The parameters affecting the degree of the mutual
interference shown in Fig. 2 include (Weinig,
1964): the solidity of the cascade, (= c/s), angle
of attack, , and the blade stagger angle, . The effect of the interference between blades in a
cascade is usually expressed in terms of an
interference factor, ko, which is the ratio of the lift
coefficient of a blade in a cascade, CL, to that of
an isolated blade, CL0. The interference of
adjacent blades at various stagger angles has been
analytically calculated using inviscid potential
flow analysis such as the Weinig’s model of
linear cascade of flat or curved plates (Weinig,
1964) and aerofoil surfaces as singularities
(Raghunathan, 1995 and 1996). These results are
expected to be valid in the stall free flow
condition.
Weinig’s formula has been used by several
researchers (Gato and Falcao, 1988 and 1984;
Raghunathan and Beattie, 1996) in OWC-WEC
turbines analyses. This is acceptable if the turbine
operates in stall free conditions. However Wells
turbine is well known to have very narrow high
efficiency operating condition which can be
Engineering Applications of Computational Fluid Mechanics Vol. 7, No. 4 (2013)
497
Fig. 1 Schematics of: (a) Oscillating Water Column
(OWC) Wave Energy Conversion (WEC)
device; (b) Wells turbine and (c) full-scale
Denniss-Auld turbine with variable pitch
angle blades (Alcorn and Finnigan, 2004).
Fig. 2 Cascade on axial flow turbine rotor with
stagger angle, °; chord length, c; blade
pitch, s; axial air velocity, VA; and tangential
velocity relative to aerofoils, VT. The angle of
attack and relative velocity are defined as m
= (1 + 2)/2 and Wm= (W1+W2)/2.
attributed to the operation of the turbines under
deep stall condition over significant portion of the
blades span. Deep stall starting from the tip
moving toward mid-span reduces the power
output significantly (Torresi et al., 2009). This
shows that the use of simple interference factor
based on inviscid and infinitesimally thin foils is
not suitable for Wells turbine analysis.
A number of approaches to reduce the loss and
increase cascade performance have been reported.
Sun et al. (2012) demonstrated the effect blade
leading profiles and wedge angle on turbine
cascades performance. Strong effect was shown
on the boundary layer separation and the trailing
loss. Constant chord Wells turbine is shown to
stall early compared to variable chord turbine
resulting in greater efficiency of variable chord
turbine by up to 60% (Govardhan and Chauhan,
2007). Guide vanes have also been introduced to
increase the tangential velocity at the rotor inlet
aiming at increasing turbine efficiency. Kumar
and Govardhan (2010) further studied the effect
of placing passive fence to reduce the secondary
flow losses.
The paper presents the results of CFD analyses of
the aerodynamics of linear cascades and discusses
the flow field through such cascades particularly
the effect of cascade parameters on the incipient
of stall and its implication on the blade lift and
drag. The merits and inadequacies of the previous
inviscid model of axial flow air turbines for
OWC-WECs such as that of Weinig (1964) are
also discussed.
2. CASCADE INTERFERENCE FACTOR
BASED ON INVISCID ANALYSIS
A simplified illustration of infinite linear cascade
with staggered blades is shown in Fig. 2. Because
of the blades interaction with each other, the lift
coefficient, CL, and the drag coefficient, CD, are
different to that of isolated aerofoil. Modifiers
expressed in terms of the ratio of the cascade lift
coefficient, CL, to that of isolated blade, CL0,
taken at the same angle of attack, known as the
interference factor (ko = CL/CL0) are commonly
adopted in Wells turbine analysis. Few
experiments to determine ko have been reported.
Raghunathan (1988) carried out experiment with
limited range of solidity and in free stall
condition, where it is shown that the Weinig’s
model is still applicable. As consequence, many
Wells turbine performance analysis still adopts
the interference factor based on linear cascade of
infinitesimally thin flat blades (Weinig, 1964). It
is expected that at high solidity and high angle of
attack the viscous and compressibility effects can
lead to different separation mechanism and hence
inception of stall. Additionally there is no report
on the post-stall aerodynamic behaviour of
cascade.
Weinig (1964) showed an exact solution for 2-
dimensional potential flow around row of flat
plates and the interference factor is independent
of attack angle, , and is only a function of blade
stagger angle, , and cascade solidity, . Using
the analytical formulation for the lift coefficient
for an isolated aerofoil prior to stall, Weinig
(1964) determined the lift coefficient for cascade
blade as follows
CL = 2ko sin(m) (1)
where m is the angle of attack based on the mean
of the flows upstream and downstream of the
cascade, and ko is a complex function of and s/c
Engineering Applications of Computational Fluid Mechanics Vol. 7, No. 4 (2013)
498
(or 1/) shown in Fig. 3. For the special case with
= 0°, as in the case of a Wells turbine, the
interference factor (Weinig, 1964) is given by
2s
ctan
c
2s
ok (2)
Eq. (2) is widely accepted as the lift coefficient
modifier or interference factor of fixed-pitch ( =
0°) Wells turbine blades. CL modified by Eq. (2)
is shown together with experimental data for an
isolated NACA0012 aerofoil at Re = 7×105
(Sheldahl and Klimas, 1981) in Fig. 4. Solid
curve in this figure represents the cascade lift
coefficient calculated using the isolated aerofoil
data multiplied by the interference factor of Eq.
(2). In order to determine ko, and plot the cascade
lift curve, the following cascade dimensions: c =
0.1 m and s = 0.169 m were used in Eq. (2). It can
be clearly seen that the lift curve based on the lift
data modified by ko exhibits higher values of CL
than the isolated aerofoil lift coefficient and the
deviation seems to start from m=10o. On the
figure, CL calculated by CFD compressible model
(*) shows reasonable agreement at low angle of
attack (5o). However the CFD predicted CL at stall
and post-stall is much greater than the prediction
by Eq. (2). It is expected that the cascade
interference effect will be significant in the post
stall regime. The CFD approach discussed in
Section 3 was validated by comparing the
coefficient of lift of isolated aerofoil case. The
agreement between the experimental curve (dash
curve) and the numerical values () is very good
in the pre-stall region and reasonable in the post-
stall region.
Although Eq. (2) has been widely used in the
analysis of Wells turbines (Gato and Falcao,
1988; Raghunathan and Beattie, 1996) and
compared with experimental measurement of
Wells turbine effeiciency (Gato and Falcao, 1988;
Raghunathan et al., 1990) to the best of our
knowledge, there is still limited validation of the
relationship between ko and from practical
aerofoil cascades i.e. over large range of angle of
attack, and solidity in pre-stall and post stall
regimes and hence limited understanding of the
cascade effect in post-stall condition.
3. 2-DIMENSIONAL COMPUTATIONAL
FLUID DYNAMICS (CFD) MODEL
The present study used ANSYS CFX code to
simulate the flows around cascades of relevance
to OWC-WEC axial flow turbines under realistic
flow conditions i.e. viscous, turbulent flow and
Fig. 3 Interference factor, k0 = CL/CL0, from potential
flow theory (Weinig 1964).eff is the stagger
angle defined as eff = 90° - .
Fig. 4 Comparison of isolated experimental aerofoil
lift data CL0 by Sheldahl and Klimas (1981) at
Re = 7×105, corrected cascade lift data CL (by
k0 for s/c = 1.69, = 0.6) and present CFD
infinite cascade data.
over practical ranges of angle of attack and
Reynolds number. CFD interference factors were
derived and presented in terms of the effective
angle of attack based on the mean angles between
the aerofoil chord, and the upstream and the
downstream flow directions, m = (1+2)/2,
shown in Fig. 2.
2-dimensional, steady and compressible CFD
simulations over wide ranges of angles of attack
and cascade solidity were carried out. Grid
independence was verified for linear cascade
simulation and the number of unstructured
elements where coefficient of lift remains
unchanged with further refinement was of the
order of 1.5×106 (Gareev, 2011). A typical mesh
around the blade and type of boundary conditions
used are shown in Fig. 5. k- SST turbulence
model with automatic wall functions and the
-5 0 5 10 15 20 25-0.5
0
0.5
1
1.5
2
m
(degrees)
CL
CFD - infinite linear cascade
CFD - single airfoil
experimental curve of isolated aerofoil
modified experimental curve by Eq. (2)
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499
Fig. 5 Typical mesh used in CFD simulations is shown in the upper figures. In general tetrahedral elements were
used and prismatic elements defined within inflation layers were used near the aerofoil surfaces.
Computational boundary conditions are shown in the lower figure: (1) upstream boundary – specified inlet
velocity; (2) upper and lower boundaries - periodic; (3) left and right side boundaries – free-slip wall; (4)
downstream boundary – opening with specified static pressure; and (5) airfoil surface – nonslip wall.
“high resolution” advection scheme and “auto
timescale” were used. As the flow can reach high
Mach number at the leading edge of the blades
where compressibility is significant total energy
model to account for the heat transfer was used.
The automatic near-wall treatment switches
between low-Re near wall formulation when y+ <
2 and otherwise standard wall function
formulation to resolve the flow close to the blade
surfaces. Inflation layers were used to create fine
mesh near the surface resulting in average y+
between 10 and 20. All simulations were carried
out at Re = 7×105 (based on chord length).
The computational domain and boundary
conditions are shown in Fig. 5. The computational
domain was bounded by inlet boundary with
specified velocity, turbulent intensity of 5% and
air temperature of 20o
C. The outlet boundary was
specified as opening held at atmospheric static
pressure. To model 2-dimensional flow only one
cell was used to represent domain thickness. Only
one aerofoil was used in the simulation with
periodic boundary as the interface between
adjacent blades.
4. RESULTS AND DISCUSSIONS
The lift coefficients from the present CFD
simulations at Re = 7×105 were first compared to
experimental isolated aerofoil data (Sheldahl and
Klimas, 1981) and to values corresponding to the
isolated experimental data modified by Eq. (2) in
Fig. 4. It is evident that the CFD predictions are in
good agreement with experimental lift data
corrected by applying Eq. (2) for ≤ 10º. This
confirms the validity range of Eq. (2). However in
the post-stall region, the CFD results show
significantly higher CL.
Interference factors for blades chord parallel to
the plane of the cascade ( = 0o) cases were
analysed for a range of solidities (1/ = s/c) and
mean angles of incidence, m. Results from these
simulations are presented in Fig. 6 together with
the interference factors calculated using Eq. (2).
It can be seen in Fig. 6 that the interference
factors obtained by Eq. (2) (Weinig 1964) and
viscous compressible CFD simulations match up
to 1/ = 2 or = 0.5 for all angles of attack up to
m = 20o. When > 0.5 the viscous and
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500
Fig. 6 Lift coefficient interference factors, ko, for linear cascade ( = 0º) of NACA0012 aerofoils as function of 1/
and mean angle of incidence, m. The solid curve is based on Weinig inviscid flow analysis, Eq. (2). The
arrows indicate the stall attack angles at different solidities.
(a) m = 5° (b) m = 10°
(c) m = 15° (d) m = 20°
Fig. 7 Velocity vectors around cascade (NACA0012) of 1/ = 1.25 ( at different mean angles of incidence,
m.
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501
(a) = 5° (b) = 10°
(c) = 15° (d) = 20°
Fig. 8 Velocity vectors around isolated aerofoil (NACA0012) at different mean angles of incidence, .
compressibility effects in general cause greater
lift than isolated aerofoil and the effects become
more pronounced at high angle of attack. It was
found that the difference widens in post-stall
region when m > 10o.
Figs. 7 and 8 show the velocity vectors around the
cascade blades and isolated aerofoil, respectively.
It can be seen that in cascade, stall occurs at lower
attack angle, namely m = 10o and m = 20o for
the isolated aerofoil. The existence of separation
bubble over the aerofoil suction side in cascade
results in lower lift and hence dip in the
interference factor (indicated by arrows in Fig. 7).
At m = 10o the flow is already in the post-stall
region in contrast to isolated aerofoil where stall
is not seen until about 20o as shown in Fig. 8. This
causes the lift to be lower than isolated aerofoil
lift. Similar phenomenon is also seen at = 0.6
where cascade stall occurs at m = 15o. The drop
(indicated by arrows in Fig. 7) in ko observed at
1/ = 1.25 ( = 0.8) and 1.667 ( = 0.6) at m =
10o and 15o can be explained by the effect of the
cascade in lowering stall angle. From this
observation it can be concluded that cascade
lowers stall angle, the greater the solidity the
lower the cascade stall angle.
As the angle of attack increases beyond m > 10o,
the difference between the Weinig interference
factor and the CFD calculated ko widens. This
indicates that cascade effect is more pronounced
at high solidity and in post-stall region.
The increase of ko at high angle of attack (m =
15o and 20o) seen in Fig. 6 can be attributed to
greater pressure difference between the pressure
and suction sides of the blades as shown in Figs.
10 and 11. This is not seen when m = 10o in Fig.
9. In fact there is a significant increase in pressure
on the suction side (circled in Fig. 9) due to early
stall correspond to Fig. 7b, leading to drop in lift.
The effects of cascade solidity on surface pressure
distribution are shown in Figs. 9 to 11. Few
observations can be made. Increased solidity
leads to higher pressure on the pressure sides at
m > 10° or in the post stall region. At high
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Fig. 9 Surface pressure distributions on cascade blade for different solidities at m = 10°. The circle shows high
pressure in the separation region when = 0.8.
Fig. 10 Surface pressure distributions on cascade blade for different solidities at m = 15°.
solidity, , pressure distribution on the
blade surface is more uniform. It appears that
when solidityincreases, the proximity of blades
induces blockage effect which causes an increase
of the surface pressure on the pressure side and
decrease of the pressure on the suction side of the
cascade (see Figs. 10 and 11), creating larger
pressure difference between the suction and the
pressure sides. This explains the rapid increases
of ko when > 0.7 (s/c < 1.42).
Comparison of the streamlines around isolated
aerofoil with that around cascade shows two
interesting phenomena. Firstly, as stall is
approached with increasing angle of attack the
separation zones on the cascade blades start at the
leading edges of the blades where in isolated
aerofoil the flow remains attached downstream
from the leading edge, i.e. until the local adverse
pressure gradient causes the flow to detach.
Secondly, at higher cascade solidity, the
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2-12
-10
-8
-6
-4
-2
0
2
4
normalised length
Cp
= 0.5
= 0.6
= 0.7
= 0.8
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2-10
-8
-6
-4
-2
0
2
4
6
8
normalised length
Cp
= 0.5
= 0.6
= 0.7
= 0.8
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503
Fig. 11 Surface pressure distributions on cascade blade for different solidities at m = 20°.
(a) m = 5° (b) m = 10°
(c) m = 15° (d) m = 20°
Fig. 12 Streamlines around cascade blade (NACA0012) with obtained with compresible model at different
mean angles of incidence, m.
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2-15
-10
-5
0
5
10
15
20
normalised length
Cp
= 0.5
= 0.6
= 0.7
= 0.8
Engineering Applications of Computational Fluid Mechanics Vol. 7, No. 4 (2013)
504
separation bubbles for the cascade contain paired
recirculation secondary flow zones, whilst in
isolated aerofoil the separation zone only contains
single recirculation cell. This suggests that the
mechanisms of separation zone formation in
cascades and isolated aerofoils are different. We
explore this issue in the following discussion.
As solidity increases, the mutual proximity of the
aerofoils results in very significant increases to
both the local velocity and the angle of attack at
the leading edges of the aerofoils (see the bold
arrows in Figs. 12c and d) in comparison to an
isolated aerofoil. This is more so in higher attack
angle (Figs. 12c and d) than in lower angle (Figs.
12a and b). The combined effect is thought to
initiate separation to occur closer to the leading
edge and to lead to larger separation zone with
paired recirculation cells. A comparison with
lower solidity cascade at < 0.5 demonstrates
that at lower solidity there is a relatively small
increase in velocity at the leading edge compared
to the superficial flow. Analysis of the flow fields
for other solidity cascades shows that starting
from =0.7, large increase of velocity results in
strong adverse pressure gradient that in turn
results in separation very close to the leading edge
of the aerofoil and a separation bubble over the
entire suction surface and consequently greater
drag and increased pressure on the pressure side
that lead to greater lift. The high velocity near the
leading edge (Mach > 1) as shown in Fig. 13
leads to lower leading edge pressure and overall
pressure over the blade suction side. The
important difference between the compressible
and incompressible models appears to be on the
onset of stall. Fig. 14 shows the streamlines
around the blades where stall is not seen until 15o
angle of attack where with compressible model
stall is seen at 10o
.
(a) m = 15° (b) m = 20°
Fig. 13 Mach number (NACA0012) in a cascade with at different mean angles of incidence, m.
(a) m = 10° (b) m = 15° (c) m = 20°
Fig. 14 Streamlines around cascade blade (NACA0012) obtained with incompresible model at different mean
angles of incidence, m.
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The above analysis clearly demonstrates there is
strong dependence of interference factors on
solidity, stagger angle, angle of attack and
compressibility. The interference between blades
gives rise to high velocity in the blade spacing
and greater pressure difference between the
pressure and the suction sides.
5. CONCLUSIONS
Analytical lift interference factors for linear,
tandem cascades (with zero stagger angle, = 0°)
predicted by Weinig (1964) based on potential
flow methods have been compared with those
deduced from viscous compressible flow CFD
simulations. Weinig’s inviscid analysis showed
that lift interference factors, ko, for an infinite
cascade is independent of the angle of attack, ,
and dependent only on aerofoil stagger angle, ,
and cascade solidity, . Our CFD analyses have
provided confirmation that Weinig’s formulation,
Eq. (2) is adequate for linear cascades such as
NACA0012 for relatively low angles of attack
(m < 10°) prior to the incidence of stall.
However, at higher angles of attack (m > 10°) the
present analyses have shown that the interference
factor, ko, depends on both angle of attack and
solidity. This is shown to be due to a number of
factors including viscous and compressibility
effects that result in earlier flow separation and
stall for cascade compared to single aerofoil, and
the influence of the finite thickness of the
aerofoils, as compared to the infinitesimally thin
foils assume in inviscid flow analyses. Of
particular note are the effects of high cascade
solidity, which increases the local flow velocity,
and angle of attack at the vicinity of the leading
edges of the aerofoils, leading to changes in flow
separation and recirculation on the suction side of
the aerofoils as compared to an isolated aerofoil.
The issues dealt with in the present work may be
important in a wide range of flow situations,
including blade element modelling of turbines
under unsteady and/or reciprocating flow
conditions. Analysis of air turbines for Oscillating
Water Column Wave Energy Convertors (OWC-
WECs) is a case in point, where in practice the
OWC-WEC turbine aerofoils may operate under
stalled conditions for significant portions of the
reciprocating air flow process through the turbine.
Lastly it is noted that further work is still needed
to address the 3D effects due to the radial
variation of the solidity.
NOMENCLATURE
c aerofoil chord length
CD drag coefficient
CL lift coefficient
CL0 lift coefficient of isolated aerofoil
Cp
pressure coefficient, = 2
2
1W
pp r
ko lift interference factor, = CL/CL0
p pressure
pr reference pressure
Re Reynolds number, = c W/
s cascade pitch
u friction velocity, = /w
VA axial relative velocity
VT tangential relative velocity
W relative velocity
y+ Reynolds number, = u y/
angle of attack
angle of incidence
blade stagger angle
density
kinematic viscosity
solidity (= c/s)
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